Hexis vs Youkti: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Hexis and Youkti — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Hexis

Bevelites GmbH

Freemium

Open-source git-backed control plane for enterprise AI agents — context, skills, tools and permissions as files in your own repo, served over MCP.

Git-backed source of truth: Context, skills, tools, permissions, and agent identities live as Markdown/YAML files in your own repository — reviewed, branched, and diffed like any other code.
Typed knowledge with provenance: Every fact is a typed node with source, owner, and last verification date, compiled into a graph you can traverse, mass-update, and dashboard.
Markdown skills, not prompt fragments: Procedures live as readable Markdown files that domain owners can review, instead of prompt snippets buried in a vendor config.
Tool manifests with vaulted secrets: Declare each tool once, hold secrets in a vault, and set file-level access rules that say which agent may read which file and call which endpoint.
Per-agent identity: Each agent is a named actor with its own credentials and scope — no shared service accounts, and every action is attributable to a specific agent.
Any runtime via MCP or UTCP: Serves the same governed surface to Claude Code, Cursor, ChatGPT, opencode, background agents, in-platform agents, and self-hosted models.
Open-source Apache-friendly release: Hexis is the OSS core; Bevel (paid) adds hosted services, integrations, and enterprise support on top.

Enterprises running AI agents across multiple vendors (Claude, Cursor, ChatGPT) who want context and skills defined once in their own infrastructure instead of re-uploaded per vendor.
Procurement, GTM, and RFI teams building specialised agents (e.g., tender desks, campaign agents) on top of a shared reusable knowledge layer with provenance.
Platform teams that need per-agent identities and file-level access controls so every tool call is attributable and destructive endpoints are gated by review.
Companies wary of vendor lock-in who want a portable spec (MCP/UTCP) so they can switch agent runtimes without rebuilding context, skills, and tool wiring.
Engineering leaders who want the AI 'operating manual' reviewed in git diffs and change requests instead of edited inside a black-box vendor console.
Open-source-first teams evaluating a control plane locally with Hexis before committing to Bevel's hosted platform for larger deployments.

Youkti AI

Freemium

Agentic outbound platform that turns account signals and relationship data into prioritized plays, personalized sequences, and pipeline actions.

ARYA conversational play builder: Describe an outbound play in plain English and ARYA assembles the signal triggers, persona filters, outreach rules and cadence, updating the live config as you talk
Signal detection: Tracks funding rounds, hiring surges, leadership changes and transformation initiatives across target accounts and surfaces them on the account record
Daily Cockpit: A single morning screen that ranks accounts needing attention, overlays the relevant signals, matches the persona and drafts the sequence hook for one-click push
Account memory: Keeps a continuous record of contacts, last-touch dates and engagement by business unit so context survives rep turnover and long sales cycles
Deal-risk intelligence: Flags opportunities that are stalling and explains why, with competitor presence and the objections buyers raised
ICP scoring: Scores accounts against an ideal-customer profile to prioritize high-intent targets over volume-based lists
Meeting preparation: Builds stakeholder maps, surfaces unresolved questions and recommends talking points ahead of strategic conversations
MCP interface: Exposes account knowledge and platform actions over MCP so other agentic tools can query and act on the same data

An SDR team running signal-triggered outbound instead of static lists, launching sequences only when a funding round or hiring surge indicates timing
A sales leader reviewing which enterprise deals are at risk before they quietly slip out of the quarter
An AE reactivating dormant accounts after a new signal such as a digital transformation initiative appears
RevOps building a new GTM play conversationally rather than configuring a multi-step workflow builder
An account manager preparing for a renewal by reviewing engagement across business units and mapping new stakeholders
A CRO reviewing top competitors and recurring objections across the pipeline to adjust messaging